Identifying Topics by using Word Distribution
基 中山, Takao Miura · 2007
In this work, we examine and verify atopic word modelwhich says each topic can be identified by means of word distribution under same author, and by using random projection, one of the dimension reduction techniques, we show we can obtain efficient and effective processing to the model. We examine Shakespeare works and show we can identify scenes correctly to their dramas.